Slot: conforms_to_standard
Which registered data standard conforms_to names, where one applies — a term rather than prose, so the corpus can be queried for "what standards does this follow?" (#403).
conforms_to records what the sources say, in their words. This records which standard that is. Populate both for the same standard: one is verbatim evidence, the other is the normalized term, and they answer different questions.
Use OTHER when the sources name a standard this vocabulary lacks, and keep the name in conforms_to so nothing is lost. Never pick a near-neighbour — reporting BIDS because a dataset is neuroimaging, when the sources say otherwise, is an invention.
URI: dcterms:conformsTo Alias: conforms_to_standard
Applicable Classes
| Name | Description | Modifies Slot |
|---|---|---|
| File | A single file within a dataset or file collection | no |
| DataSubset | A subset of a dataset, likely containing multiple files of multiple potential... | no |
| DatasetCollection | A collection of related datasets, likely containing multiple files of multipl... | no |
| Dataset | A single component of related observations and/or information that can be rea... | no |
| FileCollection | A collection of files with shared characteristics (format, purpose, structure... | no |
| Information | Grouping for datasets and data files | no |
Properties
-
Range: DataStandardEnum
-
Multivalued: True
Identifier and Mapping Information
Annotations
| property | value |
|---|---|
| d4d:docExample | BIDS |
Schema Source
- from schema: https://w3id.org/bridge2ai/data-sheets-schema
Mappings
| Mapping Type | Mapped Value |
|---|---|
| self | dcterms:conformsTo |
| native | data_sheets_schema:conforms_to_standard |
LinkML Source
name: conforms_to_standard
annotations:
d4d:docExample:
tag: d4d:docExample
value: BIDS
description: 'Which registered data standard `conforms_to` names, where one applies
— a term rather than prose, so the corpus can be queried for "what standards does
this follow?" (#403).
`conforms_to` records what the sources say, in their words. This records which standard
that is. Populate both for the same standard: one is verbatim evidence, the other
is the normalized term, and they answer different questions.
Use `OTHER` when the sources name a standard this vocabulary lacks, and keep the
name in `conforms_to` so nothing is lost. Never pick a near-neighbour — reporting
BIDS because a dataset is neuroimaging, when the sources say otherwise, is an invention.'
from_schema: https://w3id.org/bridge2ai/data-sheets-schema
rank: 1000
slot_uri: dcterms:conformsTo
alias: conforms_to_standard
domain_of:
- Information
range: DataStandardEnum
multivalued: true